个人简历

I am an Associate Professor in the Department of Electronics and Information Engineering at Huazhong University of Science and Technology (HUST). I received my PhD degree in the Department of Electrical and Computer Engineering at UC Santa Barbara in March 2013. I worked under the supervision of Professor Kwang-Ting (Tim) Cheng.
My research interest lies in mobile computer vision, mobile augmented reality (AR) and medical image analysis. My earlier work designed computer vision and AR algorithms which can run in real-time on low power mobile devices, such as smartphones. More specifically, I focus on: 1) designing new light-weight and robust algorithms, 2) adapting existing algorithms to mobile CPU and/or GPU, for fundamental computer vision components, such as feature extraction, recognition and tracking, etc, 3) using mobile hetegeneous parallel computing , and 4) fusing multi-model sensor data (e.g. accelerometer, gyroscope and magnetometer). In the area of medical image analysis, I am especially interested in image segmentation and registration.
My current projects include:
1. Medical Image Analysis (collaborated with HKUST, Beijing Tiantan Hospital)
2. Monocular Simutanous Localization and Mapping and Augmented Reality (collaborated with Shanghai HISCENE)
3. 3D Facial Landmark Detection (collaborated with HKUST and Naver)
Previous projects:
1. High quality and ultrafast feature desgin for mobile augmented reality
2. Accelerating SURF detector on mobile devices
3. Mobile image retrieval
4. Fusing multi-model sensor data for mobile object tracking (collaborated with Prof. Cheng and Prof. Huan, UCSB)
5. Automated comparison of 3D CTA Images (collaborated with Prof. Chien, UCLA Medical School)
6. Functional analysis in MR Urography images (collaborated with Prof. Sung, UCLA Medical School)
Teaching:
[2018 Fall] Data Structure
[2018 Fall] Image Analysis and Understanding
[2017 Fall] Programming Language C
[2017 Winter] Image Analysis and Understanding
[2016 Fall] Programming Language C
[2016 Winter] Image Analysis and Understanding
[2015 Summer] Mobile Embedded System: Platforms, Software and Applications
[2015 Fall] Image Analysis and Understanding
Selected Publications
Year 2018
Accurate Face Alignment and Adaptive Patch Selection for Heart Rate Estimation from Video under Realistic Scenarios　Wang Z. W., Yang X.*, Cheng K.-T.　PLOS ONE, (PLOS ONE) 2018　Impact factor: 2.805
A Joint Space-angle Regularization Approach for Single 4D Diffusion Image Super-resolution　Yin S. You X. G.*, Yang X., Peng Q. M., Zhu Z. Q., Jing X. Y.　Magnetic Resonance in Medicine, (MRM) 2018　Impact factor: 3.942
Joint Segment-level and Pixel-wise Losses for Deep Learning based Retinal　Vessel　Segmentation　Yan Z. Q., Yang X.*, Cheng K.-T.　IEEE Trans. on Biomedical Engineering, (TBME) 2018　Impact factor: 3.577
An Autonomous Drone Cinematography System for Action Scenes　Huang C., Gao F., Yang Z. Y., Qiu W. H., Kong Y., Chen P., Yang X., Shen S. J., Cheng K. T　International Conference on Robotics and Automation (ICRA), 2018
A Deep Model with Shape-preserving Loss for Gland Instance Segmentation 　Yan Z. Q., Yang X., Cheng K.-T.
International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2018
Year 2017
Automated Detection of Clinically Significant Prostate Cancer in mp-MRI Images based on an End-to-End Deep Neural Network　Wang Z. W., Liu C. Y., Wang L., Yang X.*, Cheng K.-T.
IEEE Trans. on Medical Imaging, (TMI) 2017Impact factor: 3.942
A Skeletal Similarity Metric for Quality Evaluation of Retinal Vessel Segmentation　Yan Z. Q., Yang X.*, Cheng K.-T.　IEEE Trans. on Medical Imaging, (TMI) 2017
Impact factor: 3.942
Co-trained Convolutional Neural Networks for Automated Detection of Prostate Cancer in Multi-parametric MRI　Yang X., Liu C. Y., Wang Z. W.*, Yang J., Le M. H., Wang L., Cheng K. –T.
Medical Image Analysis, (MIA) 2017　Impact factor: 4.188
Automated Diagnosis of Prostate Cancer in Multi-parametric MRI based on Multimodal Convolutional Neural NetworksLe M. H., Chen J. Y., Wang L., Cheng K.-T., Yang X.*
Physics in Medicine and Biology, (PMB) 2017　Impact factor: 2.811
Automated Method for Accurate Vessel Segmentation　Yang X.*, Le M. H., Liu C. Y., Chien A., Cheng K.-T.Physics in Medicine and Biology, (PMB) 2017 　Impact factor: 2.811
Robust and Real-Time Pose Tracking for Augmented Reality on Mobile Devices　Yang X.*, Guo J. B., Xue T. L., Cheng K.-T.Multimedia Tools and Applications, (MTA) 2017　Impact factor: 1.530
Fast and Accurate Visual Odometry from a Monocular Camera　Yang X*, Xue T. L., Luo H. C., Guo J. B.Frontiers in Computer Science, (FCS) 2017　Impact factor: 1.039
Real-Time Monocular Dense Mapping for Augmented RealityXue T. L., Luo H. C., Cheng D. P., Yuan Z. K., Yang X.*　ACM Multimedia (MM, Oral, acceptance rate: 7.5%), 2017
Real-Time Dense Monocular SLAM for Augmented Reality 　Luo H. C., Xue T. L., YangX.*ACM Multimedia (MM, Demo), 2017
DeepCADx: Automated Prostate Cancer Detection and Diagnosis in mp-MRI based on Multimodal Convolutional Neural Networks　Wang, Z. W., Liu C. Y., Bai X., Yang X.*　ACM Multimedia (MM, Demo), 2017
Joint Detection and Diagnosis of Prostate Cancer in Multi-parametric MRI based on Multimodal Convolutional Neural Networks　Yang X*, Wang Z.W., Liu C. Y., Le M.H., Chen J. Y., Wang L., Cheng K. -T.　International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2017
REDBEE: A Visual-Inertial Drone System for Real-Time　Moving　Object　DetectionHuang C., Chen P., Yang X., Cheng, K.-T.　IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017.
Year 2016
Renal Compartment Segmentation in DCE-MRI Images　Xin Yang, Hung Le Minh, Chaoyu Liu, Tim Cheng, Kyung Hyun Sung, Wenyu Liu　Medical Image Analysis, (MIA) 2016　Impact factor: 4.188
Year 2015
Accurate and Efficient Pulse Measurement from Facial Videos on Smartphones
Chong Huang, Xin Yang, Tim Cheng　IEEE Winter Conference on Applications of Computer Vision (WACV), 2015
Fusion of Vision and Inertial Sensing for Accurate and Efficient Pose Tracking on Smartphones　Xin Yang, Xun Si, Tangli Xue, Liheng Zhang, Tim Cheng　International Symposium on Mixed and Augmented Reality (ISMAR), 2015
Vision-Inertial Hybrid Tracking for Robust and Efficient Augmented Reality on Smartphones　Xin Yang, Xun Si, Tangli Xue, Liheng Zhang, Tim Cheng
ACM Multimedia (MM), 2015
Automatic Segmentation of Renal Compartments in DCE-MRI Images　Xin Yang, Hung Le Minh, Tim Cheng, Kyun Sung
International Conference on Medical Image Computing and Computer　Assisted　Interventions (MICCAI), 2015
Measurement of Intracranial Aneurysm Growth　Qianyi Yu, Xin Yang, Tim Cheng, F Liang, Aichi Chien　Stroke, 2015　Acceptance rate: 10%, Impact factor: 6.158
OGB: A Distinctive and Efficient Feature for Mobile Augmented Reality
Xin Yang, Xinggang Wang, Tim Cheng　International Conference on Multimedia Modeling (MMM), 2015
Location-Aware Image Classification　Xinggang Wang, Xin Yang, Wenyu Liu, Chen Duan, Longin LateckiInternational Conference on Multimedia Modeling (MMM), 2015
Year 2014
Accurate Vessel Segmentation with Progressive Contrast Enhancement and Canny Refinement　Xin Yang, Tim Cheng and Aichi Chien　Aisian Conference on Computer Vision (ACCV), 2014　Acceptance rate: 27%[pdf]
libLDB: A Library for Extracting Ultrafast and Distinctive Binary Feature Description
Xin Yang, Chong Huang and Tim Cheng　ACM International Conference on Multimedia (MM), Open Source Software Competition, 2014.
Project Website
Geodesic Active Contours with Adaptive Configuration for Cerebral Vessel and Aneurysm Segmentation
Xin Yang, Tim Cheng and Aichi Chien
International Conference on Pattern Recognition (ICPR), Stockholm, Sweden, Aug 24-28, 2014.
Local Difference Binary for Ultra-fast and Distinctive Feature Description
Xin Yang and Tim Cheng
IEEE Transaction on Pattern Recognition and Machine Intelligence (TPAMI), 2014.
Impact factor: 4.795
Learning Optimized Local Difference Binary for Scalable Augmented Realtiy on Mobile Devices
Xin Yang and Tim Cheng
IEEE Transaction on Visualization and Computer Graphics (TVCG), 2014.
Impact factor: 2.215
Year 2012
LDB: An Ultra-Fast Feature for Scalable Augmened Reality on Mobile Device
Xin Yang and Tim Cheng
International Symposium on Mixed and Augmented Reality (ISMAR), Atlanta, Georgia, Novermber 5-8, 2012.
Oral presentation; Acceptance rate: 18% [pdf]ISMAR Best Paper Nomination, 2012
Accelerating SURF Detector on Mobile Devices　Xin Yang and Tim Cheng　ACM International Conference on Multimedia (MM), Nara, Japan, October 29-31, 2012
Oral presentation; Acceptance rate: 20.2% [pdf]

研究领域

Mobile Computer vision, mobile augmented reality (AR), medical image analysis, large-scale image retrieval""